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Volatilization and leaching behavior of heavy metals in MSW incineration fly ash in a DC arc plasma furnace 期刊论文
FUEL, 2017, 卷号: 210, 页码: 145-153
作者:  Ma, Wenchao;  Fang, Yunhao;  Chen, Dongmei;  Chen, Guanyi;  Xu YX(徐永香);  Sheng HZ(盛宏至);  Zhou, Zhihua;  Chen, GY (reprint author), Tianjin Univ, Sch Environm Sci & Engn, State Key Lab Engines, Tianjin 300072, Peoples R China.
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Msw Incineration Fly Ash  Heavy Metals  Volatilization And Leaching Behavior  Dc Arc Plasma  Cao - Al2o3 - Sio2 (Cas)  
Motion stability of high-speed maglev systems in consideration of aerodynamic effects: a study of a single magnetic suspension system 期刊论文
ACTA MECHANICA SINICA, 2017, 卷号: 33, 期号: 6, 页码: 1084-1094
作者:  Wu H(吴晗);  Zeng XH(曾晓辉);  Yu Y(余杨)
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High-speed Maglev System  Critical Speed  Aerodynamic Effect  Motion Stability  
A new solver for granular avalanche simulation: Indoor experiment verification and field scale case study 期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2017, 卷号: 60, 期号: 12
作者:  Wang XL(王晓亮);  Li JC(李家春);  Li, JC (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.;  Li, JC (reprint author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China.
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Avalanche  Landslide  Waf  Tvd  
Molecular tagging velocimetry of NH fluorescence in a high-enthalpy rarefied gas flow 期刊论文
APPLIED PHYSICS B-LASERS AND OPTICS, 2017, 卷号: 123, 期号: 4
作者:  Zhang SH(张少华);  Yu XL(余西龙);  Yan H;  Huang HJ(黄河激);  Liu HL(刘宏立);  Yu, XL (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.;  Yu, XL (reprint author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China.
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Molecular Tagging Velocimetry  Nh Fluorescence  High-enthalpy  Rarefied Gas  
波动力的性质及其对膜间配体、受体相互作用的影响研究 学位论文
博士论文,北京: 中国科学院大学, 2017
作者:  李龙
Adobe PDF(13794Kb)  |  收藏  |  浏览/下载:335/10  |  提交时间:2019/05/15
Development of zone flamelet model for scramjet combustor modeling 会议论文
21st AIAA International Space Planes and Hypersonics Technologies Conference, Xiamen, China, 6-9 March 2017
作者:  Yao W(姚卫);  Fan XJ(范学军)
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Combustion  Cost Benefit Analysis  Costs  Mixtures  Spacecraft  Supersonic Aircraft  
The Phenomena of Sudden Change in Hypersonic Inlets Self-Starting Capability 会议论文
21st AIAA International Space Planes and Hypersonics Technologies Conference, Xiamen, China, 6-9 March 2017
作者:  Jia YN(贾轶南);  Yue LJ(岳连捷);  Zhang XY(张新宇);  Jia, Yinan(yuelj@imech.ac.cn)
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Boundary Layer Flow  Boundary Layers  Spacecraft  Wind Tunnels  
Development of zone flamelet modelfor scramjet combustor modeling 会议论文
21st AIAA International Space Planes and Hypersonics Technologies Conference, Hypersonics 2017, Xiamen, China, March 6, 2017 - March 9, 2017
作者:  Yao W(姚卫);  Fan XJ(范学军)
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Combustion  Cost benefit analysis  Costs  Mixtures  Ramjet engines  Supersonic aircraft  Computational costs  Equivalence ratios  Local flow conditions  Scramjet combustors  Statistics approaches  Supersonic combustion  Supersonic combustors  Turbulent combustion  
Influence of Ce/Zr Ratio on the Synergistic Effect over CuCe1-xZrxOy/ZSM-5 Catalysts for the Self-Sustained Combustion of Carbon Monoxide 期刊论文
COMBUSTION SCIENCE AND TECHNOLOGY, 2017, 卷号: 189, 期号: 8, 页码: 1394-1415
作者:  Zhao RZ;  Hao QL;  Bin F(宾峰);  Kang RN;  Dou BJ;  Bin, F (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing, Peoples R China.;  Dou, BJ (reprint author), Tianjin Univ Sci & Technol, Coll Marine & Environm Sci, Tianjin, Peoples R China.
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Carbon Monoxide  Ce/zr Ratio  Cuce1-xzrxoy/zsm-5 Catalysts  Self-sustained Combustion  
Wheel Wear Prediction of High-Speed Train Using NAR and BP Neural Networks 会议论文
EEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, ENGLAND, JUN 21-23, 2017
作者:  Fan N;  Wang SW;  Liu CX;  Liu XM(刘小明)
浏览  |  Adobe PDF(753Kb)  |  收藏  |  浏览/下载:293/134  |  提交时间:2018/06/06
Big Data  Wheel Wear  Variance Analysis  Nar Neural Network  Prediction